3 papers
cs.AI2026
Belief Embedding Tree Search
Christopher Solinas, Radovan Haluška, Martin Schmid +3
Beliefs in a Partially Observable Markov Decision Process (POMDP) are posterior distributions over the hidden state given the agent's history of actions and observations. They summ…
cs.AI2026
Structure-Induced Information for Rerooting Levin Tree Search
Jake Tuero, Michael Buro, Laurent Orseau +1
Subgoal-based policy tree search, which uses a policy to guide search, is effective for complex single-agent deterministic problems but often relies on explicit subgoal generation…
cs.LG2025
Neural Bayesian Filtering
Christopher Solinas, Radovan Haluska, David Sychrovsky +6
Sequential estimation under partial observability requires tracking beliefs that may be high-dimensional, multimodal, and non-Gaussian. Classical Bayesian filters generalize zero-s…